Literature DB >> 19920778

Predicting HLA class I alloantigen immunogenicity from the number and physiochemical properties of amino acid polymorphisms.

Vasilis Kosmoliaptsis1, Afzal N Chaudhry, Linda D Sharples, David J Halsall, Timothy R Dafforn, J Andrew Bradley, Craig J Taylor.   

Abstract

BACKGROUND: Knowledge of the human leukocyte antigen (HLA) amino acid (AA) sequence combined with crystallographic structural data may enable prediction of the relative immunogenicity of individual donor/recipient HLA mismatches.
METHODS: Multiple sera from 32 highly sensitized patients awaiting kidney transplantation were screened using Luminex/single-antigen beads to determine the HLA-specific antibody levels against mismatched HLA class I specificities. A computer program was developed to allow intralocus and interlocus comparison of mismatched HLA-A and -B specificities with corresponding recipient HLA class I type, and to determine the number, position, and physiochemical disparity (hydrophobicity and electrostatic charge) of polymorphic AA.
RESULTS: HLA-specific antibody was detected against 1666 (85%) of the 1964 mismatched HLA specificities evaluated, with a close correlation between increasing number of AA polymorphisms and the presence and magnitude of the alloantibody response (P<0.0001). Hydrophobicity and electrostatic charge disparity scores were independent predictors of alloantibody production (adjusted P=0.0009 and P=0.0005, respectively). Mismatched specificities with physiochemical scores within the first decile of the scale led to weak alloantibody responses (median fluorescence intensity 2330), whereas those with scores above the sixth decile led to strong alloantibody production (median fluorescence intensity >10,000).
CONCLUSION: Differences in AA number, hydrophobicity, and electrostatic charge between HLA class I specificities enable prediction of donor HLA class I types with low immunogenicity for a given recipient.

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Year:  2009        PMID: 19920778     DOI: 10.1097/TP.0b013e3181b4a9ff

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  26 in total

Review 1.  Effect of Immunosuppressive Drugs on Humoral Allosensitization after Kidney Transplant.

Authors:  Olivier Thaunat; Alice Koenig; Claire Leibler; Philippe Grimbert
Journal:  J Am Soc Nephrol       Date:  2016-02-12       Impact factor: 10.121

2.  Physiochemical disparity of mismatched HLA class I alloantigens and risk of acute GVHD following HSCT.

Authors:  V Kosmoliaptsis; M M Jöris; D H Mallon; A C Lankester; P A von dem Borne; J Kuball; M Bierings; J J Cornelissen; M E Groenendijk-Sijnke; B van der Holt; J A Bradley; M Oudshoorn; J J van Rood; C J Taylor; F H J Claas
Journal:  Bone Marrow Transplant       Date:  2015-01-26       Impact factor: 5.483

Review 3.  HLA epitope matching in pediatric renal transplantation.

Authors:  Matthew P Sypek; Peter Hughes; Joshua Y Kausman
Journal:  Pediatr Nephrol       Date:  2016-12-19       Impact factor: 3.714

Review 4.  The generation and maintenance of serum alloantibody.

Authors:  M R Clatworthy; M Espeli; N Torpey; K G C Smith
Journal:  Curr Opin Immunol       Date:  2010-10       Impact factor: 7.486

Review 5.  Pediatric Kidney Transplantation-Can We Do Better? The Promise and Limitations of Epitope/Eplet Matching.

Authors:  Olga Charnaya; Daniella Levy Erez; Sandra Amaral; Dimitrios S Monos
Journal:  Front Pediatr       Date:  2022-06-03       Impact factor: 3.569

6.  Low Hydrophobic Mismatch Scores Calculated for HLA-A/B/DR/DQ Loci Improve Kidney Allograft Survival.

Authors:  Dulat Bekbolsynov; Beata Mierzejewska; Jadwiga Borucka; Robert S Liwski; Anna L Greenshields; Joshua Breidenbach; Bradley Gehring; Shravan Leonard-Murali; Sadik A Khuder; Michael Rees; Robert C Green; Stanislaw M Stepkowski
Journal:  Front Immunol       Date:  2020-10-29       Impact factor: 7.561

7.  High-resolution human leukocyte antigen typing and early post-transplant outcomes: more than meets the eye.

Authors:  Annelore Sacreas; Stijn E Verleden
Journal:  Ann Transl Med       Date:  2020-02

Review 8.  Predicting alloreactivity in transplantation.

Authors:  Kirsten Geneugelijk; Kirsten Anne Thus; Eric Spierings
Journal:  J Immunol Res       Date:  2014-04-28       Impact factor: 4.818

9.  Alloantibody Responses After Renal Transplant Failure Can Be Better Predicted by Donor-Recipient HLA Amino Acid Sequence and Physicochemical Disparities Than Conventional HLA Matching.

Authors:  V Kosmoliaptsis; D H Mallon; Y Chen; E M Bolton; J A Bradley; C J Taylor
Journal:  Am J Transplant       Date:  2016-03-01       Impact factor: 8.086

10.  Computational Eurotransplant kidney allocation simulations demonstrate the feasibility and benefit of T-cell epitope matching.

Authors:  Matthias Niemann; Nils Lachmann; Kirsten Geneugelijk; Eric Spierings
Journal:  PLoS Comput Biol       Date:  2021-07-27       Impact factor: 4.475

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